JP2016004364A - Behavior estimation device, method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To estimate the behavior of a user without collecting a life log from a portable terminal.SOLUTION: An area entry/exit recognition part 11 and a sub-area entry/exit recognition part 12 recognize an area or a sub-area where a smart device 30 exists. An application selection part 13 selects a predetermined application in an application/area table 22 in accordance with the recognized area where the smart device 30 exists and the situation of the area, and an application remote installation part 14 performs the remote installation of the application. A behavior estimation part 16 estimates the behavior of the user carrying the smart phone 30 on the basis of a provision history table 24 as the history of the provided application and an application/behavior table 25 indicating the predetermined behavior of the user correspondingly to the application.

Description

  The disclosed technology relates to a behavior estimation device, a behavior estimation method, and a behavior estimation program.

  Conventionally, as a technology for grasping user behavior, log information of mobile terminals such as smartphones, mobile phones, and tablet terminals carried by the user is accumulated in a server, and the usage status of the mobile terminal is analyzed. There is a way to determine what you were doing.

  For example, by comparing the position information of the mobile terminal detected by the GPS function mounted on the mobile terminal with the building information of the surrounding facilities, for example, a situation where the user is eating or moving Can be estimated. In addition, logs indicating the usage status of applications installed in mobile terminals can be collected and stored from mobile terminals, and the user's behavior can be estimated more precisely by comparing the usage status with location information. . For example, it is possible to collect logs indicating the usage status of electronic money mounted on a mobile terminal and analyze the background of using electronic money together with location information.

JP 2000-124852 A JP 2012-14442 A JP 2003-223548 A International Publication No. 2005/111880 Pamphlet

  However, the user's behavior estimation using the mobile terminal's life log such as location information and application usage history is a psychological discomfort for the user to monitor the behavior, except for safety management for children and the elderly. Is accompanied.

  Further, simply collecting life logs from a portable terminal does not necessarily collect life logs necessary for estimating user behavior. Therefore, in order to collect life logs necessary for action estimation, life logs are collected and accumulated for a long period of time. In this case, the accumulated amount of life logs becomes enormous, and it takes time to estimate the user's behavior from the accumulated life logs.

  Furthermore, from the viewpoint of the Personal Information Protection Law, collecting life logs from a user's mobile terminal requires obtaining the consent of the person in advance, so the life logs are collected and stored unconditionally and used freely It is not possible.

  An object of the disclosed technology is to estimate a user's behavior without collecting a life log from a mobile terminal.

  As an aspect, the disclosed technology includes a recognition unit that recognizes a place where a mobile terminal is present. Further, the disclosed technology includes a providing unit that provides predetermined information to the mobile terminal according to a location where the mobile terminal recognized by the recognition unit exists and a situation of the location. In addition, the disclosed technology is based on the history of the provided information provided by the providing unit and the action information indicating the action of the user determined in advance corresponding to the provided information. An estimation unit for estimation is provided.

  As one aspect, the disclosed technology has an effect that a user's action can be estimated without collecting a life log from a mobile terminal.

It is a functional block diagram of the action presumption device concerning this embodiment. It is a figure which shows an example of the area managed with an action estimation apparatus. It is a figure which shows the other example of the area managed with an action estimation apparatus. It is a figure which shows an example of an area entrance / exit list. It is a figure which shows an example of an application area table. It is a figure which shows an example of a provision log | history table. It is a figure which shows an example of an application-action table. It is a block diagram which shows schematic structure of the computer which functions as an action estimation apparatus which concerns on this embodiment. It is a flowchart which shows an example of an application provision process. It is a flowchart which shows an example of an action estimation process. It is a figure which shows an example of the browsing route provided by an application. It is a figure which shows an example of an estimation result.

  Hereinafter, an example of an embodiment according to the disclosed technology will be described in detail with reference to the drawings.

  As shown in FIG. 1, the behavior estimation apparatus 10 according to the present embodiment is connected to a smart device 30 existing within a wireless LAN-AP 35 area via a wireless LAN (Local Area Network) -AP (Access Point) 35. The The smart device 30 is an information processing terminal that is carried by a user such as a mobile phone, a smartphone, or a tablet terminal. The smart device 30 is an example of a mobile terminal according to the disclosed technology. The wireless LAN-AP 35 acquires information such as a device ID for identifying the smart device 30 connected to the wireless LAN-AP 35, the date and time when the smart device 30 was connected, and the date and time when the connection was disconnected.

  The behavior estimation apparatus 10 is connected to a short-range wireless communication device 36 that performs short-range wireless communication with the smart device 30. The short-range wireless communication device 36 performs short-range wireless communication with the smart device 30 existing in the area according to a short-range wireless communication standard such as Bluetooth (registered trademark). The short-range wireless communication device 36 acquires information such as a device ID for identifying the smart device 30 that performed communication, the date and time when communication with the smart device 30 was started, and the date and time when communication was terminated. In the present embodiment, it is assumed that the short-range wireless communication device 36 continues to communicate with the smart device 30 while the smart device 30 exists in the area.

  The behavior estimation device 10 and the wireless LAN-AP 35, and the behavior estimation device 10 and the short-range wireless communication device 36 are connected by a network such as a LAN or the Internet.

  As described above, the behavior estimation apparatus 10 communicates with the smart device 30 through the wireless LAN and acquires information on the smart device 30 that has communicated with the short-range wireless communication device 36. Therefore, the behavior estimation apparatus 10 can manage each of the area indicated within the area of the wireless LAN-AP 35 and the area indicated within the area of the short-range wireless communication device 36. In the present embodiment, the short-range wireless communication device 36 is disposed within the area of the wireless LAN-AP 35. Thereby, as shown in FIG. 2, the behavior estimation apparatus 10 includes a plurality of areas including the area indicated within the area of the wireless LAN-AP 35 and the sub areas indicated within the area of the short-range wireless communication device 36 included in the area. Manage the area.

  In the example of FIG. 2, area A including subareas A1, A2, A3, and A4, area B including subareas B1, B2, B3, and B4, and area C including subareas C1, C2, C3, and C4 Represents that the behavior estimation apparatus 10 manages. The area to be managed can be set as appropriate, such as a building unit or a predetermined area unit. In the present embodiment, an example will be described in which each exhibition area in a certain exhibition hall is one area, and an area corresponding to the exhibition for each theme included in each exhibition area is a sub-area.

  It should be noted that the target area for estimating the user's behavior by the behavior estimation device 10 is not limited to the area managed by the device itself, and other behavior estimation is performed in cooperation with the other behavior estimation device 10 as shown in FIG. It is good also as a target area including the area which the apparatus 10 manages. The area configuration is not limited to the two-layer structure as shown in FIGS. 2 and 3, and may be one layer or may be managed by three or more layers. Further, the present invention is not limited to the case where the area is managed as a range of the wireless LAN-AP 35 and the sub-area is managed as a range of the short-range wireless communication device 36. Depending on the communication method and communication channel (frequency), the area can be managed in various configurations.

  In addition, as shown in FIG. 1, the behavior estimation apparatus 10 includes an area entry / exit recognition unit 11, a subarea entry / exit recognition unit 12, an application selection unit 13, an application remote installation unit 14, and an estimation result answering unit 15. And an action estimation unit 16. The area entry / exit recognition unit 11 and the sub-area entry / exit recognition unit 12 are examples of a recognition unit of the disclosed technology. Further, the application selection unit 13 and the application remote installation unit 14 are examples of a providing unit of the disclosed technology. The estimation result answering unit 15 and the behavior estimating unit 16 are examples of the estimating unit of the disclosed technology.

  When the smart device 30 is connected to the wireless LAN-AP 35, the area entry / exit recognition unit 11 recognizes that the user carrying the smart device 30 has entered the area indicated within the wireless LAN-AP 35 area. The area entry / exit recognition unit 11 recognizes that the user carrying the smart device 30 has left the area when the connection of the smart device 30 to the wireless LAN-AP 35 is disconnected.

  Specifically, the area entry / exit recognizing unit 11 receives, from the wireless LAN-AP 35, the AP-ID for identifying the wireless LAN-AP 35, the device ID of the connected smart device 30, and the smart device 30 when the user enters. Get information including date and time of connection. Similarly, when the user leaves the area, the area entry / exit recognition unit 11 receives the AP-ID for identifying the wireless LAN-AP 35, the device ID of the smart device 30 that has been disconnected, and the connection from the wireless LAN-AP 35. Acquire information including the date and time.

  Based on the information acquired from the wireless LAN-AP 35, the area entry / exit recognition unit 11 records the entry / exit status of the user into the area, for example, in an area entry / exit list 21 as shown in FIG. For example, the area entry / exit recognition unit 11 records the device ID included in the information acquired at the time of user entry in the item “device ID”, and displays the identification information of the area associated with each AP-ID in advance. Record in the “Area” item. Also, the date and time of connection is recorded in the “entry date and time” item. In addition, the area entry / exit recognition unit 11 in the area entry / exit list 21 “exit date / time” in a row having the device ID included in the information acquired when the user leaves and the area identification information corresponding to the AP-ID. Record the date and time of disconnection in the item of.

  When the smart device 30 and the short-range wireless communication device 36 start communication, the sub-area entrance / exit recognition unit 12 allows the user carrying the smart device 30 to the sub-area indicated within the short-range wireless communication device 36. Recognize that you entered. Further, the subarea entrance / exit recognition unit 12 recognizes that the user carrying the smart device 30 has left the subarea when the smart device 30 and the short-range wireless communication device 36 have finished communication. The sub-area entry / exit recognition unit 12 notifies the application selection unit 13 of a recognition result including the device ID and identification information of the sub-area where the user entered / exited.

  When the user enters the area or sub-area, the application selection unit 13 selects the type of application corresponding to the area or sub-area where the smart device 30 exists and the situation in the area.

  Specifically, the application selection unit 13 determines that the user has entered the area under management when information related to the user's entry is recorded in the area entry / exit list 21, and based on the area entry / exit list 21. Thus, the area where the smart device 30 exists is determined. Further, the application selection unit 13 determines that the user has entered the managed subarea when the subarea entrance / exit recognition unit 12 is notified of the recognition result regarding the user's entry. And based on the notified recognition result, the subarea where the smart device 30 exists is judged.

  In addition, the application selection unit 13 determines the congestion situation of the area and the congestion situation of the sub area as the situation in the area. For example, with reference to the area entrance / exit list 21, the area congestion status is counted by counting the number of rows in which the “area” item is the corresponding area and the “exit date / time” item is blank. And it can be judged that it is congested when the number of counts is more than the threshold value predetermined for every area. The congestion status of the sub area is determined by, for example, referring to a provision history table 24 described later and counting the number of smart devices 30 existing in each sub area included in the corresponding area (details will be described later).

  The application selection unit 13 provides the smart device 30 with reference to, for example, an application-area table 22 shown in FIG. 5 based on the determination result of the area or sub-area where the user exists and the situation in the area. Select an application. The application-area table 22 is a table in which an area or subarea is associated with an application provided to the smart device 30 existing in the area or subarea.

  The application to be provided is an application that can provide a service useful for a user carrying the smart device 30 existing in the area or sub-area, or a service that induces a user's behavior. As in the present embodiment, as an application provided in the exhibition hall, for example, an application for guiding a browsing route in each exhibition area, an application for explaining details for each exhibition theme, and the like can be provided.

  Further, in the application-area table 22, different applications are associated with each other depending on the congestion situation in the area even in the same area or sub-area. In the example of FIG. 5, an item “normal time” indicating an application provided when the area is not congested and an item “congestion time” indicating an application provided at the time of congestion are provided. Furthermore, in the example of FIG. 5, a plurality of patterns of applications for congestion are determined according to the congestion status of each subarea. For example, an application identified by “application A” at “normal time” is defined as an application provided to the smart device 30 in the area A when the area is not congested. Hereinafter, the application itself identified by “application X” may be referred to as “application X”. Assuming that the application A is an application that guides the browsing route for browsing all subareas of the area A, each of the crowded applications A ′ and A ″ is browsed avoiding the crowded subareas. The application pattern at the time of congestion can be determined in advance depending on which subarea is congested, that is, which subarea is avoided. .

  The application selection unit 13 refers to the application-area table 22 as described above, and selects an application according to the area or subarea where the user has entered and the congestion status of the area or subarea. The application selection unit 13 acquires an application program 23 for executing the selected application from a predetermined storage area in which a plurality of application programs 23 are stored, and transfers the application program 23 to the application remote installation unit 14.

  Further, the application selection unit 13 records information on the selected application, that is, the application provided to the smart device 30, as a provision history in a provision history table 24 as shown in FIG. 6, for example. The provision history table 24 of FIG. 6 includes items of “device ID” indicating the smart device 30 to which the application is provided, “provided application” indicating the provided application, and “provided date” indicating the date and time when the application was provided. including.

  As described above, the application and the area or sub-area are associated with each other. Therefore, the area or subarea where the smart device 30 exists can be determined based on the application recorded in the “provided application” of the provision history table 24. Therefore, for example, the application selection unit 13 determines the sub-area congestion status by counting, for each application corresponding to the sub-area, the provision history whose “provision date / time” is within a predetermined time from the current time. Can do.

  The application remote installation unit 14 remotely installs the application program 23 delivered from the application selection unit 13 on the smart device 30 carried by the user who has entered the area or sub-area. In the smart device 30, the installed application program 23 is activated, and an application corresponding to the area or sub-area is provided to the user.

  The estimation result answering unit 15 receives an inquiry about the user's action. The inquiry includes information that specifies a user whose behavior is to be estimated. Here, a case where information specifying a user is a device ID will be described, but the present invention is not limited to this. For example, when the correspondence information between the user ID, which is the user identification information, and the device ID is held, the user ID may be accepted as information specifying the user. In response to the received inquiry, the estimation result answering unit 15 returns an estimation result list created by the behavior estimation unit 16 described later to the inquiry destination.

  The behavior estimation unit 16 estimates the behavior of the user specified by the inquiry based on the application provision history stored in the provision history table 24 and the application-behavior table 25 in which the application and the user's behavior are associated with each other. . For example, as illustrated in FIG. 7, the application-behavior table 25 defines an item “content” indicating the content of the application and a user's behavior estimated according to the content for each application indicated by the item “application”. Includes "Behavior" items. The item “content” is an item described for understanding the explanation, and is not an essential item in the application-behavior table 25.

  Further, in the “behavior” item of the application-behavior table 25, the time required for the action can be determined together with the content of the action. In the present embodiment, the application to be provided is varied depending on the congestion status of the area or sub-area. Therefore, since the congestion situation in the area when the application is provided can be determined based on the provided application, the estimated time required for the user's action can also be estimated based on the congestion situation.

  The behavior estimation unit 16 acquires a provision history in which the item “device ID” matches the specified device ID from the provision history table 24, and determines the behavior corresponding to the application included in each provision history as an application-behavior. Estimation is made with reference to the table 25. For example, the behavior estimation unit 16 sets the date / time of the item “provided date / time” of each provision history as the behavior start date / time, and the date / time obtained by adding the estimated time required for the behavior as the behavior end date / time. The end date / time is corrected so that it matches the estimated start date / time and end date / time of another action. The behavior estimation unit 16 creates an estimation result list in which the content of the estimated behavior is described together with the start date and time and the end date and time, and passes the estimation result list to the estimation result answer unit 15.

  The behavior estimation apparatus 10 can be realized by, for example, a computer 40 illustrated in FIG. The computer 40 includes a CPU 42, a memory 44, a nonvolatile storage unit 46, an input / output interface (I / F) 47, and a communication I / F 48. The CPU 42, the memory 44, the storage unit 46, the input / output I / F 47, and the communication I / F 48 are connected to each other via a bus 49.

  The storage unit 46 can be realized by an HDD (Hard Disk Drive), an SSD (solid state drive), a flash memory, or the like. The storage unit 46 as a storage medium stores an action estimation program 50 for causing the computer 40 to function as the action estimation device 10. In addition, the storage unit 46 includes an application-area information storage area 62 in which information constituting the application-area table 22 is stored, and an application storage area 63 in which a plurality of application programs 23 are stored. In addition, the storage unit 46 includes a provision history storage area 64 in which information constituting the provision history table 24 is stored, and an application-action information storage area 65 in which information constituting the application-action table 25 is stored.

  The CPU 42 reads out the behavior estimation program 50 from the storage unit 46 and develops it in the memory 44, and sequentially executes processes included in the behavior estimation program 50. In addition, the CPU 42 reads information stored in each of the application-area information storage area 62, the provision history storage area 64, and the application-behavior information storage area 65. Then, the application-area table 22, the provision history table 24, and the application-action table 25 are expanded in the memory 44. Further, the CPU 42 creates the area entry / exit list 21 on the memory 44 based on the information acquired during the execution of the behavior estimation program 50.

  The behavior estimation program 50 includes an area entry / exit recognition process 51, a sub-area entry / exit recognition process 52, an application selection process 53, and an application remote installation process 54. Further, the behavior estimation program 50 includes an estimation result answer process 55 and a behavior estimation process 56.

  The CPU 42 operates as the area entry / exit recognition unit 11 shown in FIG. 1 by executing the area entry / exit recognition process 51. The CPU 42 operates as the subarea entrance / exit recognition unit 12 shown in FIG. 1 by executing the subarea entrance / exit recognition process 52. Further, the CPU 42 operates as the application selection unit 13 illustrated in FIG. 1 by executing the application selection process 53. The CPU 42 operates as the application remote installation unit 14 shown in FIG. 1 by executing the application remote installation process 54. The CPU 42 operates as the estimation result answering unit 15 shown in FIG. 1 by executing the estimation result answering process 55. Further, the CPU 42 operates as the behavior estimation unit 16 illustrated in FIG. 1 by executing the behavior estimation process 56. Thereby, the computer 40 which executed the action estimation program 50 functions as the action estimation apparatus 10.

  Note that the behavior estimation apparatus 10 can be realized by, for example, a semiconductor integrated circuit, more specifically, an ASIC (Application Specific Integrated Circuit) or the like.

  Next, the operation of the behavior estimation apparatus 10 according to the present embodiment will be described. Every time the smart device 30 connects to the wireless LAN-AP 35 or every time the smart device 30 starts communication with the short-range wireless communication device 36, the behavior estimation apparatus 10 executes the application providing process shown in FIG. The Further, when an inquiry about the user's behavior is input to the behavior estimation device 10, the behavior estimation device 10 executes a behavior estimation process illustrated in FIG. 10. Hereinafter, each process is explained in full detail.

  In step S11 of the application providing process illustrated in FIG. 9, the application selection unit 13 determines whether the smart device 30 is connected to the wireless LAN-AP 35 or has started communication with the short-range wireless communication device 36. That is, it is determined whether the user has entered the area or the sub-area. When the application selection unit 13 detects that the area entry / exit recognition unit 11 has recorded the entry status of the user in the area entry / exit list 21, it is determined that the user has entered the area. In addition, when the application selection unit 13 is notified of the recognition result indicating the user's entry into the subarea from the subarea entry / exit recognition unit 12, the application selection unit 13 determines that the user has entered the subarea. If the user has entered the area, the process proceeds to step S12. If the user has entered the area, the process proceeds to step S20.

  In step S12, the area entry / exit recognition unit 11 acquires information including the AP-ID, the device ID of the connected smart device 30 and the date and time when the smart device 30 was connected from the wireless LAN-AP 35 to which the smart device 30 was connected. To do. Then, based on the information acquired from the wireless LAN-AP 35, the area entry / exit recognition unit 11 records the entry status of the user into the area, for example, in an area entry / exit list 21 as shown in FIG.

  Next, in step S <b> 13, the application selection unit 13 refers to the area entry / exit list 21 and determines the congestion status of the area. Next, in step S14, the application selection unit 13 refers to the provision history table 24 and determines the congestion status of each sub-area included in the area where the user has entered.

  Next, in step S15, the application selection unit 13 refers to the application-area table 22 and selects an application according to the area where the user enters and the congestion status of the area and sub-area. Then, the application selection unit 13 acquires the application program 23 for executing the selected application from the application storage area 63 and transfers it to the application remote installation unit 14.

  Next, in step S16, the application remote installation unit 14 remotely installs the application program 23 delivered from the application selection unit 13 to the smart device 30 carried by the user who entered the area.

  Next, in step S17, the application selection unit 13 records information about the selected application, that is, the application provided to the smart device 30, as a provision history in the provision history table 24 as shown in FIG. 6, for example.

  Next, in step S18, the area entry / exit recognition unit 11 determines whether the user has left the area by determining whether the connection of the smart device 30 to the wireless LAN-AP 35 has been disconnected. . If the user has not left the area, the determination in this step is repeated. If the user has left the area, the process proceeds to step S19.

  In step S19, the area entry / exit recognition unit 11 includes, from the wireless LAN-AP 35, the AP-ID for identifying the wireless LAN-AP 35, the device ID of the smart device 30 that has been disconnected, and the date and time that the connection has been disconnected. Get information. Then, based on the information acquired from the wireless LAN-AP 35, the area entry / exit recognition unit 11 records, for example, the status of user exit from the area in the area entrance / exit list 21 as shown in FIG. The providing process ends.

  On the other hand, in step S20, the application selection unit 13 refers to the application-area table 22 and selects an application according to the sub-area where the user has entered. Then, the application selection unit 13 delivers the application program 23 for executing the selected application to the application remote installation unit 14.

  Next, in step S21, the application remote installation unit 14 remotely installs the application program 23 delivered from the application selection unit 13 to the smart device 30 carried by the user who entered the sub-area.

  Next, in step S22, the application selection unit 13 records information on the selected application, that is, the application provided to the smart device 30, as a provision history in the provision history table 24 as shown in FIG. 6, for example. Then, the application providing process ends.

  Next, in step S31 of the behavior estimation process shown in FIG. 10, the estimation result answering unit 15 receives the input inquiry and notifies the behavior estimation unit 16 of the device ID specified by the inquiry. The behavior estimation unit 16 searches the provision history table 24, counts the number of provision histories corresponding to the specified device ID, and sets the number of histories in the variable i.

  Next, in step S32, the behavior estimation unit 16 sets 1 to the variable j. Next, in step S33, the behavior estimation unit 16 determines whether the variable i is 0 or not. If i ≠ 0, the process proceeds to step S34. In step S <b> 34, the behavior estimation unit 16 acquires the j-th provision history regarding the specified device ID from the provision history table 24. Next, in step S <b> 35, the behavior estimation unit 16 performs the user's behavior corresponding to the specified device ID and the required time based on the provided application indicated by the acquired provision history and the app-behavior table 25. Is estimated.

  Next, in step S36, the behavior estimation unit 16 sets the date / time of the item “provided date / time” in the acquired provision history as the behavior start date / time, and adds the estimated time required for the behavior to the start date / time. Date and time. And the action estimation part 16 adds the content of the estimated action to an estimation result list | wrist with a start date and time and an end date.

  Next, in step S37, the behavior estimation unit 16 decrements the variable i by 1 and increments the variable j by 1, and the process returns to step S33. If it is determined in step S33 that i = 0, that is, if the processing has been completed for all of the provision histories corresponding to the designated device ID, the processing proceeds to step S38.

  In step S38, the behavior estimation unit 16 passes the created estimation result list to the estimation result answering unit 15, and the estimation result answering unit 15 returns the estimation result list to the inquiry destination, and the behavior estimation process is terminated.

  The above processing flow will be described using a more specific example. As shown in FIG. 11, when the user carrying the smart device 30 enters the area A, the congestion status of the area A at that time is determined, and an application corresponding to the area A and the congestion status is provided. For example, area A is congested at this time, and many applications corresponding to subareas A2 and A3 are provided, that is, subareas A2 and A3 are particularly congested in area A. Suppose. In this case, an application for guiding a browsing route that avoids the sub-areas A2 and A3 can be provided as an application corresponding to the area A and the congestion situation. Further, as shown in FIG. 11, it is assumed that the user leaves area A and subsequently enters area B. If the area B at this time is not congested, an application for guiding a browsing route for browsing all the sub-areas of the area B can be provided.

  Further, it is assumed that an estimation result as shown in FIG. 12 is obtained based on the application provision history when the user's behavior is estimated. The end date / time is corrected to a date before the start date / time of the next action, and the sub-area tour time is included in the area browsing time. The estimation result shown in FIG. 12 indicates that the user carrying the smart device 30 browsed the exhibition hall through the route shown in FIG. The behavior estimation device 10 can obtain such an estimation result based only on the history of information provided from the behavior estimation device 10 without collecting life logs from the smart device 30.

  As described above, the behavior estimation apparatus 10 according to the present embodiment provides an application corresponding to the area where the user exists and the situation of the area to the smart device carried by the user. The behavior estimation apparatus 10 holds a history of the provided application. And when estimating a user's action, a user's action is estimated based on the offer history of an application. For this reason, a user's action can be estimated based on the information of the application provided from action estimating device 10, without collecting a life log from a smart device. Therefore, the user's action can be estimated without giving the user a psychological discomfort.

  Moreover, since the application according to the area where the user exists and the situation of the area is provided, the user's action can be guided to some extent, and the accuracy when estimating the user's action from the provided application is improved.

  In the above embodiment, the case where an application is provided has been described, but the present invention is not limited to this. Any information that affects the user's behavior may be used depending on the area.

  Moreover, although the case where only the entrance / exit to an area was recorded on an area entrance / exit list was demonstrated in the said embodiment, you may make it record on the area entrance / exit list also about the entrance / exit to a subarea. Further, in addition to the application provision history, information on the area entry / exit list may also be used to estimate the user's behavior.

  Moreover, although the said embodiment demonstrated the case where the congestion condition of an area was judged based on an area entrance / exit list, it is not limited to this. Similarly to the sub-area congestion status, the area congestion status may be determined based on the application supply status to other smart devices in the area by referring to the provision history table.

  If it is recognized that the user has left the area or sub-area, the application provided for that area or sub-area is uninstalled from the smart device or the application is forcibly terminated. It may be.

  Moreover, although the said embodiment demonstrated as an example the exhibition area and exhibition theme of an exhibition hall as an area and a subria, it is not limited to this. It may be an area that manages stations, convenience stores, movie theaters, public facilities, etc. In this case, the application to be provided may be determined according to the area to be managed. For example, in the case of a station, it is possible to provide an application for timetables and transfer guidance, and in the case of a movie theater, an application for guiding a screening schedule or the like. A wide area including a plurality of facilities such as a station and a movie theater may be managed. In this case, when a user enters a predetermined area, information on various facilities existing in the area is provided, and when the user actually recognizes that the facility has been entered, information corresponding to the facility is provided. That's fine.

  Moreover, although the said embodiment demonstrated the case where an application with a different content from normal time was provided when the area was crowded, it is not limited to this. It is only necessary to be able to determine the status of the area at the time of providing the application from the provided history.For example, the contents of the application are the same, the meta information such as the name, and the communication format such as the protocol and encryption format at the time of provision are different. You may provide a customized application. In this case, the meta information and communication format of the provided application may be saved as a history.

  The area status is not limited to the congestion status, and for example, the type of application provided to other users in the area may be determined as the status of the area. Specifically, it is assumed that when a user enters a certain business area, an application for instructing execution of the business A is already provided to another user already existing in the business area. In this case, it is possible to provide an application for instructing the newly entered user to perform the task B different from the task A.

  Moreover, although the said embodiment demonstrated the case where the action of the designated user was estimated, it is not limited to this. For example, by estimating the actions of a plurality of users who have entered a designated area, it is possible to determine the situation such as when and how crowded the area is.

  Moreover, although the above demonstrated the aspect in which the action estimation program 50 which is an example of the action estimation program which concerns on the technique of an indication was previously memorize | stored (installed) in the memory | storage part 46, it is not limited to this. The behavior estimation program according to the disclosed technology can be provided in a form recorded on a recording medium such as a CD-ROM, a DVD-ROM, or a USB memory.

  Regarding the above embodiment, the following additional notes are disclosed.

(Appendix 1)
A recognition unit that recognizes where the mobile device is located;
A providing unit that provides predetermined information to the portable terminal according to a location where the portable terminal recognized by the recognition unit exists and a situation of the location;
An estimation unit for estimating the behavior of the user carrying the portable terminal based on the history of the provision information provided by the provision unit and behavior information indicating the behavior of the user determined in advance corresponding to the provision information;
An action estimation device including:

(Appendix 2)
The behavior estimation apparatus according to supplementary note 1, wherein the status of the place includes information provided to another mobile terminal existing in the place and the number of the other mobile terminals provided with the information.

(Appendix 3)
The predetermined information is information in which at least one of the content of information to be provided, the meta information of the information to be provided, and the communication format at the time of providing the information is changed according to the location and the situation of the location. The behavior estimation apparatus according to Supplementary Note 1 or Supplementary Note 2.

(Appendix 4)
The recognizing unit recognizes whether the mobile terminal is included in at least one first area and at least one second area included in the first area and smaller than the first area. The behavior estimation apparatus according to any one of to Appendix 3.

(Appendix 5)
The behavior estimation apparatus according to any one of Supplementary Note 1 to Supplementary Note 4, wherein the estimation unit estimates a specific user's behavior or estimates a plurality of users' behaviors existing in a specific region.

(Appendix 6)
On the computer,
Recognize where your mobile device is,
Depending on the location where the recognized mobile terminal is present and the situation of the location, providing predetermined provision information to the mobile terminal,
An action for executing a process including estimating the action of the user carrying the mobile terminal based on the history of the provided information provided and action information indicating the action of the user determined in advance corresponding to the provided information. Estimation method.

(Appendix 7)
The behavior estimation method according to appendix 6, wherein the situation of the place includes information provided to other mobile terminals existing in the place and the number of the other mobile terminals provided with the information.

(Appendix 8)
The predetermined information is information in which at least one of the content of information to be provided, the meta information of the information to be provided, and the communication format at the time of providing the information is changed according to the location and the situation of the location. The behavior estimation method according to Supplementary Note 6 or Supplementary Note 7.

(Appendix 9)
When recognizing a place where the mobile terminal is present, the mobile terminal is located in any one of at least one first area and at least one second area included in the first area and smaller than the first area. The behavior estimation method according to any one of appendix 6 to appendix 8, which recognizes whether or not it has entered.

(Appendix 10)
The behavior estimation method according to any one of supplementary notes 6 to 9, wherein when estimating the user's behavior, the behavior of a specific user is estimated, or the behaviors of a plurality of users existing in a specific region are estimated.

(Appendix 11)
On the computer,
Recognize where your mobile device is,
Depending on the location where the recognized mobile terminal is present and the situation of the location, providing predetermined provision information to the mobile terminal,
In order to execute processing including estimating the behavior of the user carrying the mobile terminal based on the history of the provided information provided and behavior information indicating the behavior of the user determined in advance corresponding to the provided information Behavior estimation program.

(Appendix 12)
The behavior estimation program according to supplementary note 11, wherein the status of the place includes information provided to other mobile terminals existing in the place and the number of the other mobile terminals provided with the information.

(Appendix 13)
The predetermined information is information in which at least one of the content of information to be provided, the meta information of the information to be provided, and the communication format at the time of providing the information is changed according to the location and the situation of the location. The behavior estimation program according to Supplementary Note 11 or Supplementary Note 12.

(Appendix 14)
When recognizing a place where the mobile terminal is present, the mobile terminal is located in any one of at least one first area and at least one second area included in the first area and smaller than the first area. 14. The behavior estimation program according to any one of appendix 11 to appendix 13 for recognizing whether it has entered.

(Appendix 15)
The behavior estimation program according to any one of supplementary notes 11 to 14, wherein when estimating the behavior of the user, the behavior of a specific user is estimated, or the behaviors of a plurality of users existing in a specific region are estimated.

DESCRIPTION OF SYMBOLS 10 Action estimation apparatus 11 Area entrance / exit recognition part 12 Subarea entrance / exit recognition part 13 Application selection part 14 Application remote installation part 15 Estimation result reply part 16 Action estimation part 21 Area entrance / exit list 22 Application-area table 23 Application program 24 offer History table 25 Application-behavior table 30 Smart device 35 Wireless LAN-AP
36 Short-range wireless communication device 40 Computer 42 CPU
44 memory 46 storage unit 50 action estimation program

Claims (7)

A recognition unit that recognizes where the mobile device is located;
A providing unit that provides predetermined information to the portable terminal according to a location where the portable terminal recognized by the recognition unit exists and a situation of the location;
An estimation unit for estimating the behavior of the user carrying the portable terminal based on the history of the provision information provided by the provision unit and behavior information indicating the behavior of the user determined in advance corresponding to the provision information;
An action estimation device including:   The behavior estimation apparatus according to claim 1, wherein the status of the place includes information provided to other mobile terminals existing in the place and the number of the other mobile terminals provided with the information.   The predetermined information is information in which at least one of the content of information to be provided, the meta information of the information to be provided, and the communication format at the time of providing the information is changed according to the location and the situation of the location. The behavior estimation apparatus according to claim 1 or 2.   The recognizing unit recognizes in which area of the at least one first area and at least one second area included in the first area and smaller than the first area the mobile terminal has entered. The behavior estimation apparatus according to any one of claims 1 to 3.   The behavior estimation apparatus according to any one of claims 1 to 4, wherein the estimation unit estimates a specific user's behavior or estimates a plurality of users' behavior existing in a specific region. On the computer,
Recognize where your mobile device is,
Depending on the location where the recognized mobile terminal is present and the situation of the location, providing predetermined provision information to the mobile terminal,
An action for executing a process including estimating the action of the user carrying the mobile terminal based on the history of the provided information provided and action information indicating the action of the user determined in advance corresponding to the provided information. Estimation method. On the computer,
Recognize where your mobile device is,
Depending on the location where the recognized mobile terminal is present and the situation of the location, providing predetermined provision information to the mobile terminal,
In order to execute processing including estimating the behavior of the user carrying the mobile terminal based on the history of the provided information provided and behavior information indicating the behavior of the user determined in advance corresponding to the provided information Behavior estimation program.

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